基于量子拓扑的自适应算法

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive algorithm based on quantum topology, designed to optimize complex systems and achieve high-precision calculations. Traditional algorithms rely on classical computation, while this approach leverages the unique properties of quantum topology to offer enhanced precision and adaptability. We present a conceptual framework for this algorithm, detailing the core mechanism, justification for its novelty, and potential applications in diverse fields. The paper explores the advantages of quantum topology in parameter optimization and demonstrates the algorithm's effectiveness through mathematical analysis and illustrative examples. The focus is on the algorithmic design, theoretical justification, and preliminary results, with a limited focus on experimental validation.

DOI: 10.5281/zenodo.22251628

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